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GeoServe
Data Scientist
June 14, 2026 – Present
geoform-monitor
June 3, 2026 – Present
Monitor for tracking and managing vessel and errors
View Projectacushnet-ghost-forensics
April 23, 2026 – Present
SQL-based intelligence framework for detecting and analyzing "Ghost Brand" market incursions. Developed to identify coordinated market share hijacking and calculate financial exposure within the APAC region.
View ProjectGlobal-Retail-Sales-Analytics-Data-Pipeline-
January 28, 2026 – Present
Global-Retail-Sales-Analytics-Data-Pipeline- — GitHub repository
View ProjectMaritime-Cost-Route-Optimization-Analysis
December 22, 2025 – Present
Maritime-Cost-Route-Optimization-Analysis — GitHub repository
View ProjectVessel-Fuel-CO-Emissions-Analysis
December 21, 2025 – Present
Vessel-Fuel-CO-Emissions-Analysis — GitHub repository
View ProjectSocial-Media-Campaign-Performance-Analysis-
September 27, 2025 – September 28, 2025
This project analyzes social media ad campaigns to optimize sales conversion and predict total conversions. It is built in Python and uses a Random Forest Regressor to forecast conversions based on ad performance metrics and user demographics.
View ProjectChurn-Rate-Analysis-
September 18, 2025 – September 28, 2025
This project involves building an interactive Call Center Analysis Dashboard using Power BI to uncover insights into customer experience, agent performance, and operational efficiency. The goal is to monitor KPIs in real-time, identify trends, and highlight areas for improvement in call center operations to reduce churn and enhance customer satisf
View ProjectHeart-Disease-Prediction
September 8, 2025 – September 8, 2025
A machine learning project that predicts the presence of heart disease based on clinical features such as age, sex, blood pressure, cholesterol, and more. Built with Python and Logistic Regression, achieving ~82% accuracy on test data.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative. However, the diversity of technologies outside of Python for data science is limited, and there's a lack of collaborative or team-based project experience visible. The current role as 'Data Scientist' at GeoServe is a good fit for the target role, but the start date in the future (2026) suggests this is a prospective or placeholder entry, making it difficult to assess actual professional experience or cultural fit within a team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.